Jarrett D. Egertson

8.1k total citations · 1 hit paper
20 papers, 1.6k citations indexed

About

Jarrett D. Egertson is a scholar working on Spectroscopy, Molecular Biology and Cell Biology. According to data from OpenAlex, Jarrett D. Egertson has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Spectroscopy, 17 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Jarrett D. Egertson's work include Mass Spectrometry Techniques and Applications (17 papers), Advanced Proteomics Techniques and Applications (16 papers) and Metabolomics and Mass Spectrometry Studies (12 papers). Jarrett D. Egertson is often cited by papers focused on Mass Spectrometry Techniques and Applications (17 papers), Advanced Proteomics Techniques and Applications (16 papers) and Metabolomics and Mass Spectrometry Studies (12 papers). Jarrett D. Egertson collaborates with scholars based in United States, Germany and Sweden. Jarrett D. Egertson's co-authors include Michael J. MacCoss, Brendan MacLean, Ying S. Ting, Brian C. Searle, William Stafford Noble, Lindsay K. Pino, Judit Villén, Richard S. Johnson, Robert Lawrence and Gennifer E. Merrihew and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Nature Methods.

In The Last Decade

Jarrett D. Egertson

20 papers receiving 1.6k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry

2018 345 citations Brian C. Searle, Lindsay K. Pino et al. Nature Communications profile →

Peers

Countries citing papers authored by Jarrett D. Egertson

Since Specialization

Citations

This map shows the geographic impact of Jarrett D. Egertson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jarrett D. Egertson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jarrett D. Egertson more than expected).

Fields of papers citing papers by Jarrett D. Egertson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jarrett D. Egertson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jarrett D. Egertson. The network helps show where Jarrett D. Egertson may publish in the future.

Co-authorship network of co-authors of Jarrett D. Egertson

This figure shows the co-authorship network connecting the top 25 collaborators of Jarrett D. Egertson. A scholar is included among the top collaborators of Jarrett D. Egertson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jarrett D. Egertson. Jarrett D. Egertson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Elamipretide effects on the skeletal muscle phosphoproteome in aged female mice 2022 ·GeroScience ·Matthew D. Campbell, Miguel Martín‐Pérez, Jarrett D. Egertson, Matthew Gaffrey, Lu Wang, Theo K. Bammler, Peter S. Rabinovitch, Michael J. MacCoss, Weijun Qian, Judit Villén, David J. Marcinek	5
2	Improving Precursor Selectivity in Data-Independent Acquisition Using Overlapping Windows 2019 ·Journal of the American Society for Mass Spectrometry ·Dario Amodei, Jarrett D. Egertson, Brendan MacLean, Richard S. Johnson, Gennifer E. Merrihew, (unknown), D. C. B. Marsh, Olga Vitek, Parag Mallick, Michael J. MacCoss	96
3	Nonlinear Regression Improves Accuracy of Characterization of Multiplexed Mass Spectrometric Assays 2018 ·Molecular & Cellular Proteomics ·(unknown), Jarrett D. Egertson, Susan E. Abbatiello, Clark M. Henderson, Lindsay K. Pino, Michael J. MacCoss, Andrew N. Hoofnagle, Olga Vitek	20
4	Improving mitochondrial function with SS-31 reverses age-related redox stress and improves exercise tolerance in aged mice 2018 ·Free Radical Biology and Medicine ·Matthew D. Campbell, Jicheng Duan, (unknown), Matthew Gaffrey, Gennifer E. Merrihew, Jarrett D. Egertson, Lu Wang, Theo K. Bammler, Ronald Moore, Collin C. White, Terrance J. Kavanagh, Joachim G. Voss, Hazel H. Szeto, Peter S. Rabinovitch, Michael J. MacCoss, Weijun Qian, David J. Marcinek	100
5	Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry breakdown → 2018 ·Nature Communications ·Brian C. Searle, Lindsay K. Pino, Jarrett D. Egertson, Ying S. Ting, Robert Lawrence, Brendan MacLean, Judit Villén, Michael J. MacCoss	345
6	Specter: linear deconvolution for targeted analysis of data-independent acquisition mass spectrometry proteomics 2018 ·Nature Methods ·Ryan Peckner, Samuel A. Myers, Alvaro Sebastian Vaca Jácome, Jarrett D. Egertson, Jennifer G. Abelin, Michael J. MacCoss, Steven A. Carr, Jacob D. Jaffe	54
7	Data-Independent Acquisition Mass Spectrometry To Quantify Protein Levels in FFPE Tumor Biopsies for Molecular Diagnostics 2018 ·Journal of Proteome Research ·Yeoun Jin Kim, Steve M. M. Sweet, Jarrett D. Egertson, Andrew J. Sedgewick, Sunghee Woo, Wei‐Li Liao, Gennifer E. Merrihew, Brian C. Searle, Charles Vaske, Robert K. Heaton, Michael J. MacCoss, Todd Hembrough	22
8	Using Skyline to Analyze Data-Containing Liquid Chromatography, Ion Mobility Spectrometry, and Mass Spectrometry Dimensions 2018 ·Journal of the American Society for Mass Spectrometry ·Brendan MacLean, Brian Pratt, Jarrett D. Egertson, Michael J. MacCoss, Richard Smith, Erin Baker	56
9	Development of Selected Reaction Monitoring Methods to Systematically Quantify Kinase Abundance and Phosphorylation Stoichiometry in Human Samples 2017 ·Methods in molecular biology ·(unknown), Nathan D. Camp, Michael S. Bereman, James Bollinger, Jarrett D. Egertson, Michael J. MacCoss, Alejandro Wolf‐Yadlin	2
10	PECAN: library-free peptide detection for data-independent acquisition tandem mass spectrometry data 2017 ·Nature Methods ·Ying S. Ting, Jarrett D. Egertson, James G. Bollinger, Brian C. Searle, Samuel Payne, William Stafford Noble, Michael J. MacCoss	139
11	Selecting Optimal Peptides for Targeted Proteomic Experiments in Human Plasma Using In Vitro Synthesized Proteins as Analytical Standards 2016 ·Methods in molecular biology ·James G. Bollinger, Andrew B. Stergachis, Richard S. Johnson, Jarrett D. Egertson, Michael J. MacCoss	14
12	Using Data Independent Acquisition (DIA) to Model High-responding Peptides for Targeted Proteomics Experiments 2015 ·Molecular & Cellular Proteomics ·Brian C. Searle, Jarrett D. Egertson, James G. Bollinger, Andrew B. Stergachis, Michael J. MacCoss	35
13	Multiplexed peptide analysis using data-independent acquisition and Skyline 2015 ·Nature Protocols ·Jarrett D. Egertson, Brendan MacLean, Richard S. Johnson, Yue Xuan, Michael J. MacCoss	157
14	Peptide-Centric Proteome Analysis: An Alternative Strategy for the Analysis of Tandem Mass Spectrometry Data 2015 ·Molecular & Cellular Proteomics ·Ying S. Ting, Jarrett D. Egertson, Samuel Payne, Sangtae Kim, Brendan MacLean, Lukas Käll, Ruedi Aebersold, Richard Smith, William Stafford Noble, Michael J. MacCoss	131
15	A Deeper Look into Comet—Implementation and Features 2015 ·Journal of the American Society for Mass Spectrometry ·Jimmy K. Eng, Michael R. Hoopmann, (unknown), Jarrett D. Egertson, William Stafford Noble, Michael J. MacCoss	162
16	Multiplexed MS/MS for improved data-independent acquisition 2013 ·Nature Methods ·Jarrett D. Egertson, Andreas Kuehn, Gennifer E. Merrihew, Nicholas W. Bateman, Brendan MacLean, Ying S. Ting, Jesse D. Canterbury, (unknown), Markus Kellmann, Vlad Zabrouskov, Christine C. Wu, Michael J. MacCoss	221
17	Multiplexed Data Independent Acquisition for Comparative Proteomics 2012 ·Jarrett D. Egertson, Andreas Kuehn, Gennifer E. Merrihew, Nicholas W. Bateman, Brendan MacLean, Ying S. Ting, Jesse D. Canterbury, Markus Kellmann, Vlad Zabrouskov, Christine C. Wu, Michael J. MacCoss	1
18	*De Novo* Correction of Mass Measurement Error in Low Resolution Tandem MS Spectra for Shotgun Proteomics 2012 ·Journal of the American Society for Mass Spectrometry ·Jarrett D. Egertson, Jimmy K. Eng, Michael S. Bereman, Edward J. Hsieh, Gennifer E. Merrihew, Michael J. MacCoss	10
19	Comparison between procedures using SDS for shotgun proteomic analyses of complex samples 2011 ·PROTEOMICS ·Michael S. Bereman, Jarrett D. Egertson, Michael J. MacCoss	49
20	Evaluation of Front-End Higher Energy Collision-Induced Dissociation on a Benchtop Dual-Pressure Linear Ion Trap Mass Spectrometer for Shotgun Proteomics 2011 ·Analytical Chemistry ·Michael S. Bereman, Jesse D. Canterbury, Jarrett D. Egertson, Julie A. Horner, Philip M. Remes, Jae C. Schwartz, Vlad Zabrouskov, Michael J. MacCoss	14

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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